Coding Course – Content Outline

Course Overview

This course is designed to equip students with advanced coding skills across multiple programming paradigms, preparing them for computer science, software development, and AI-driven applications. Students will explore object-oriented programming, web and app development, algorithms, and data structures, with an emphasis on hands-on projects and real-world problem solving.

Learning Outcomes:

• Master advanced programming concepts and object-oriented design

• Develop applications using Python, Java, or JavaScript

• Understand algorithms, data structures, and computational thinking

• Build interactive projects, games, or web applications

• Debug, test, and optimize code efficiently

• Collaborate on coding projects and document solutions professionally

Module 1: Advanced Programming Concepts

• Object-oriented programming (OOP): classes, objects, inheritance, polymorphism, encapsulation

• Functions, recursion, and modular programming

• Error handling and exceptions

• Debugging and testing techniques

• Code readability and documentation

Module 2: Data Structures & Algorithms

• Arrays, lists, stacks, queues, dictionaries/maps

• Linked lists, trees, and graphs (basic introduction)

• Sorting algorithms: bubble sort, selection sort, merge sort, quicksort

• Searching algorithms: linear and binary search

• Algorithm efficiency: Big O notation (introductory level)

• Practical application in coding projects

Module 3: Web Development Basics

• HTML, CSS, and JavaScript fundamentals

• Building interactive web pages

• DOM manipulation and events

• Responsive design and basic UI/UX principles

• Introduction to frameworks (e.g., Bootstrap, React.js basics)

Module 4: Application Development

• Introduction to desktop and mobile app development

• GUI programming with Python (Tkinter) or Java (Swing/JavaFX)

• Event-driven programming

• File handling, databases, and data persistence

• Building simple apps and interactive programs

Module 5: Python for Advanced Projects

• Python libraries: NumPy, Pandas, Matplotlib

• Introduction to automation using Python

• Basic AI/ML concepts with Python (e.g., simple predictive models)

• Data visualization and analysis

• Hands-on projects: calculators, chatbots, data-driven applications

Module 6: Game Development & Interactive Coding

• Introduction to game logic and physics in coding

• 2D games with Python (Pygame) or JavaScript (Canvas)

• Handling user input and events

• Simple AI in games (enemy movement, pathfinding)

• Debugging and testing interactive projects

Module 7: Collaborative Coding & Version Control

• Introduction to Git and GitHub

• Version control principles: commit, push, pull, branch

• Collaborative project management with GitHub

• Code reviews and documentation best practices

Module 8: Final Projects & Real-World Applications

• Students design and implement a complete coding project:

  • Web application, game, or automation tool

  • Use of multiple programming concepts: OOP, data structures, event handling

  • Integration of databases, APIs, or external libraries

• Prepare project documentation and presentation

• Optional: deploy web apps or share project on GitHub

Skills Gained

• Advanced programming in Python, Java, or JavaScript

• Object-oriented design and modular coding

• Problem-solving with algorithms and data structures

• Web and app development fundamentals

• Game development and interactive coding

• Version control and collaborative coding practices

• Real-world coding project experience